A New Rumor Propagation Model and Control Strategy on Social Networks

被引：0

作者：

Bao, Yuanyuan ^{[1
]}

Yi, Chengqi ^{[2
]}

Xue, Yibo ^{[1
]}

Dong, Yingfei ^{[3
]}

机构：

[1] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

[2] Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin, Peoples R China

[3] Univ Hawaii, Dept Elect Engn, Honolulu, HI 96822 USA

来源：

2013 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2013年

关键词：

rumor propagation; social networks; information diffusion; rumor control; rumor dynamic;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a new SPNR model and identify the concrete propagation relationships and obtain the spreading threshold. We evaluate the proposed model with simulations and compare the simulation results with real data on Sina Weibo, the largest micro- blogging tool in China. The results show that the new model is effective for capturing the rumor spreading in real social networks. To obtain effective rumor control strategy, we further analyze the key factors that affect the maximum value of steady state, the point of decline, and the life cycle of a rumor. These results help us develop new rumor control strategies.

引用

页码：1472 / 1473

页数：2